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With the rapid development of online shopping, electronic commerce has offered a new channel for instant on-line shopping. It is necessary for company to on-line one-to-one market to e-shoppers. Therefore, the ability to predict e-shoppers' purchase behavior basing on data mining has become a key source of competitive advantage for company. Frequently occurring sequential patterns, identified in sequences...
The risk evaluation of shrink and expansion of the expansive soil is essential to evaluate properly the engineering stability and safety. Herein a novel risk model for the analysis of the grade of shrink and expansion for the expansive soil was discussed by means of coupling set pair analysis with stochastic simulation of triangular fuzzy numbers. A concept of multi-element connection number of the...
Considering of high transmission rate and short training time, Steady State Visual Evoked Potential (SSVEP) rapidly becomes a practical signal in Brain-Computer Interface(BCI) system. This paper study the extraction method of SSVEP based on the Hilbert-Huang Transformation. The SSVEP was processed by a time-frequency processing system. after empirical mode decomposition and Hilbert-Huang Transform(HHT),...
Description Logics (DL) has become popular knowledge representation formalisms for various applications in the Semantic Web. However, DL has its limit in knowledge representation ability as it can only represent one free variable at a time. Compared to DL, Horn logic covers different but overlapping areas of knowledge representation. This paper presents an approach to build Horn logic based rules...
Because the risk factors cannot be accurately measured it is very difficult to evaluate the risk of supply chain. By introducing hesitancy degree into the risk evaluation process, an intuitionistic fuzzy model is developed to describe the problem. With this model, an algorithm is proposed to evaluate the risk of supply chain. Example shows that the proposed method is superior to the existing ones...
In the practice of evaluation of optimum FRP trawler type, DM has to face multi disciplines and lots of uncertain or fuzzy parameters. This paper proposes the use of symmetrical fuzzy collaborative optimization model, and the traditional ship type evaluation model is decomposed into three subsystems, i.e., technological, economy and decision-making computation discipline. The fuzzy cut level optimized...
Disastrous and traffic incidents have serious impact on the operation risk of major highway infrastructure, and risk calculation method is the basis for its safety management decision. Based on analysis of safety factors of major highway infrastructure, a combined method coupling fuzzy algorithm and Bayesian network is presented to calculate its operation risk under various events, in which fuzzy...
Comprehensive evaluation based on unascertainty measure in equipment operation has guiding significance. The unascertainty theory model was briefly introduced. This comprehensive method is able to help us select optimized scheme which was obtained by analyzing and handling experimental data. In the evaluation system, such parameters chosen as air temperature, power, the amount of heat recovery, supplying...
Most methods of structural states assessment focused on statistical analysis considering only random uncertainties, or on fuzzy recognition considering only fuzzy uncertainties. The cloud model considers both of the two, implementing the transform between qualitative evaluation and quantitative numerical value. In this paper, healthy observations are used to determine the expectation function and...
Owing to human's experiences being rarely applied in the traditional fault diagnosis procedure, a kind of fault diagnosis model of rotating speed sway is established based on Fuzzy Neural Network (FNN) for avion engine. The fault diagnosis model can simulate expert's fault diagnosis procedure, and improve fault diagnosis performance of rotating speed sway for avion engine. The simulation results show...
This paper analyzes the occurrence regularity of agricultural drought affected area during 1978-2006 in China. It is shown that China will be in the state of agricultural drought in a long term, and the degree of disaster caused by drought will be exacerbated. The grey catastrophe model is used to predict the trend of risk caused by agricultural drought in the future of China. The result shows that...
There are Z - N oscillation method and reaction curve and so on in based methods classical approaches. In fuzzy PID auto-tuner conventional gain scheduling involves using extra information from the plant, environment, or user to tune (via “schedules”) the gains of a controller. We study how the two-link flexible robot operates under the “no control” situation. The robot endpoint position shows a significant...
In an operational collaborative simulation system, evaluation is always an important part to indicate validity, precision, robustness, reliability and other capabilities of the system. However, there is no generic evaluation tool accustomed to varied situations. This paper analyzes the current problem we confront, puts forward FSM (flow specific model) and FIM (flow independent model), and proposes...
Building ontology from scratch need identify the basic concepts, and their attributes and relationships. In terms of information integration, draft concepts, attributes and relationships can be directly captured by processing schemas of data sources. In this context, we present a hybrid semantic discovery approach, which is an extension of our previous work[1][2] to capture concepts, attributes and...
The paper introduces the theoretic analysis of the electro-hydraulic servo system, and makes certain the structure of the Fuzzy controller, input or output variable, the quantitative variable, the proportional variable and fuzzy reasoning theorem based on the manipulative experiment. The model and simulation of the system are established with Fuzzy Toolbox in MATLAB. With the results of the simulation...
Collaborative filtering is the most widely used and successful technology for building recommender systems. However it faces challenges of scalability and recommendation accuracy. Collaborative filtering can be divided into memory based and model based. The former is more accurate while the latter performs better in scalability. This paper proposes a hybrid user model. The recommender system based...
This paper concerns the exact modeling and asymptotic synchronization problems of a class of new 3-dimensional four-wing chaotic systems. Firstly, we present the accurate T-S fuzzy models for the considered 3D four-wing chaotic systems. Then, based on the exact T-S fuzzy representation of the considered 3D four-wing chaotic systems and the parallel distributed compensation technique, a T-S fuzzy feedback...
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